Human Generated Data

Title

Untitled (american Legion Post 79 broadcasting on radio WFEA)
Date

1937
People

Artist: Durette Studio, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3990

Human Generated Data

Title

Untitled (american Legion Post 79 broadcasting on radio WFEA)

People

Artist: Durette Studio, American 20th century

Date

1937

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3990

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Human 96.2
Person 96.2
Person 95
Person 94.9
Person 93.6
Person 89.2
Person 88.8
Person 87.9
Person 87.7
People 86.6
Person 84.6
Person 81.9
Person 79.7
Person 77.1
Person 76.5
Person 75.9
Person 69.2
Lamp 64.4

Clarifai
created on 2019-06-01

decoration 99
inside 96.9
winter 96.8
design 95.3
desktop 95.3
modern 94.7
celebration 94.4
architecture 94.2
room 93.9
Christmas 93.8
family 93.8
luxury 93.6
light 92.2
snow 91.8
apartment 91.7
empty 91.4
contemporary 91.1
tree 91
ornate 90.9
indoors 89.7

Imagga
created on 2019-06-01

stucco 86.4
grunge 23
tray 22.6
vessel 21.5
texture 21.5
liquid 20
design 19.7
old 18.8
receptacle 18.3
vintage 17.4
art 16.7
drop 16.3
water 16
bubble 16
container 15.9
frame 15.8
cold 15.5
motion 15.4
bathtub 15.1
clear 14.8
decoration 14.5
color 14.5
transparent 14.3
ripple 14.3
clean 14.2
backdrop 14
retro 13.9
pattern 13.7
drink 13.4
splash 13.3
bubbles 13.3
graphic 13.1
wave 13
border 12.7
tub 12.6
flowing 12.1
energy 11.8
fresh 11.8
paper 11.8
material 11.6
white goods 11.6
damaged 11.4
antique 11.4
light 11.4
glass 11.2
floral 11.1
wallpaper 10.7
cool 10.6
health 10.4
close 10.3
aged 9.9
dirty 9.9
wet 9.8
splashing 9.7
wash 9.6
aqua 9.5
flower 9.2
element 9.1
backgrounds 8.9
home appliance 8.9
wall 8.7
bath 8.5
space 8.5
hygiene 8.5
rain 8.5
purity 8.3
paint 8.1
spa 8.1
detail 8
creative 7.9
text 7.9
appliance 7.8
leaf 7.8
grungy 7.6
banner 7.3
digital 7.3
yellow 7.3
black 7.2
dishwasher 7.1
modern 7
textured 7

Google
created on 2019-06-01

White 96.9
Black-and-white 56.4

Microsoft
created on 2019-06-01

ship 96.6
black and white 75.9
birthday cake 50.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 17-27
Gender Male, 50.4%
Confused 49.6%
Calm 50%
Sad 49.7%
Surprised 49.6%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Sad 49.6%
Confused 49.8%
Disgusted 49.5%
Surprised 49.6%
Angry 49.5%
Happy 49.5%
Calm 50%

AWS Rekognition

Age 23-38
Gender Female, 54.4%
Happy 45.2%
Disgusted 45.1%
Angry 45.2%
Surprised 45.3%
Sad 51.2%
Calm 47.8%
Confused 45.3%

AWS Rekognition

Age 4-9
Gender Female, 50.2%
Sad 50.1%
Surprised 49.5%
Disgusted 49.5%
Angry 49.7%
Calm 49.6%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 54.7%
Confused 45.9%
Disgusted 45.2%
Calm 48.3%
Angry 45.3%
Sad 48.9%
Happy 45.8%
Surprised 45.6%

AWS Rekognition

Age 17-27
Gender Female, 50%
Confused 49.5%
Angry 49.6%
Sad 49.7%
Calm 49.9%
Disgusted 49.6%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%
Happy 50%
Sad 49.6%
Calm 49.7%
Angry 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.1%
Angry 49.6%
Happy 49.8%
Sad 49.5%
Disgusted 49.8%
Confused 49.5%
Calm 49.7%
Surprised 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Disgusted 49.6%
Surprised 49.6%
Angry 49.7%
Confused 49.6%
Sad 49.6%
Calm 49.8%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Sad 49.6%
Angry 49.5%
Disgusted 49.9%
Surprised 49.5%
Happy 49.6%
Calm 49.8%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Disgusted 49.6%
Happy 49.5%
Surprised 49.6%
Sad 50%
Angry 49.5%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 48-68
Gender Male, 50.3%
Disgusted 50.3%
Calm 49.5%
Angry 49.5%
Sad 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.1%
Angry 49.7%
Happy 49.5%
Confused 49.6%
Calm 49.7%
Surprised 49.5%
Sad 49.8%
Disgusted 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Surprised 49.6%
Sad 49.7%
Angry 49.5%
Disgusted 49.5%
Calm 50.1%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 50.1%
Happy 49.5%
Surprised 49.6%
Calm 49.6%
Disgusted 49.5%
Confused 49.6%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Calm 49.8%
Disgusted 49.5%
Sad 49.6%
Surprised 49.7%
Happy 49.6%
Confused 49.7%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.6%
Calm 50.3%
Angry 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Confused 49.7%
Disgusted 49.6%
Happy 49.5%
Surprised 49.6%
Calm 49.8%
Sad 49.7%
Angry 49.6%

Feature analysis

Amazon

Person 96.2%

Categories

Imagga

paintings art 74.7%
interior objects 24.4%

Captions

Text analysis

Amazon

CHESTER
CETIRE
OS

Google

STER
STER